DeepBP: Ensemble deep learning strategy for bioactive peptide prediction.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Bioactive peptides are important bioactive molecules composed of short-chain amino acids that play various crucial roles in the body, such as regulating physiological processes and promoting immune responses and antibacterial effects. Due to their significance, bioactive peptides have broad application potential in drug development, food science, and biotechnology. Among them, understanding their biological mechanisms will contribute to new ideas for drug discovery and disease treatment.

Authors

  • Ming Zhang
    Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, College of Veterinary Medicine, Harbin 150030, China.
  • Jianren Zhou
    School of Computer, Jiangsu University of Science and Technology, 666 Changhui Road, Zhenjiang, 212100, China.
  • Xiaohua Wang
    Department of Radiology, Peking University Third Hospital, Beijing, China.
  • Xun Wang
    College of Computer Science and Technology, China University of Petroleum, Dongying, China.
  • Fang Ge
    School of Computer Science and Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing, 210094, China.